Reconstructing geographic distance among cities using distributional semantics



Estimated map of the 100 most populous US cities constructed by predicting the distances between them based on their similarity in Word2Vec semantic space. 


The way we use words in language encodes a lot of information about the real-world meaning of those words. Continue reading Reconstructing geographic distance among cities using distributional semantics